文章基本信息

标题：A Comparative Review on Different Scheduling Algorithms in Hadoop
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作者：Anuradha Sharma ; Sheenam Malhotra
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：3
页码：4096
DOI：10.15680/IJIRCCE.2016.0403090
出版社：S&S Publications
摘要：In today's world large quantity of data is produced everyday by different business and scientific applications. Hadoop has become a dominant computation model for processing huge amount of information. Hadoop works on MapReduce framework which offers parallel processing to execute various data exhaustive jobs present on a cluster. With increase in use of hadoop, scheduling algorithms are required for efficient utilization of cluster resources and executing them in less time. This paper explains core components of hadoop to understand its working, some existing schedulers are compared to evaluate their performance and few parameters are proposed to improve the performance of hadoop
关键词：Hadoop; MapReduce; HDFS; Scheduling